Every day at work, I saw the same thing happen.
A washing machine wouldn’t drain. An air conditioner stopped cooling. A refrigerator made a strange noise. Most people had no idea where to start.
The internet had plenty of answers—but too many of them were generic, contradictory, or written simply to sell replacement parts.
As a maintenance supervisor, I knew there had to be a better way.
That’s what led me to build Fix-It Fast AI.
The idea was simple: create an AI assistant that helps people troubleshoot appliances and home maintenance problems step by step before they spend money on unnecessary repairs.
What started as a small project quickly became much larger than I imagined.
Today, the platform includes over 1,000 troubleshooting articles covering appliances, HVAC systems, electrical issues, plumbing, flooring, doors, windows, and general home maintenance.
But writing the articles was only part of the challenge.
I also had to think about how people actually search for help.
Instead of filling the site with technical jargon, I focused on questions real homeowners ask:
- “Why won’t my dryer heat?”
- “Why is my refrigerator running all the time?”
- “Why does my smoke detector keep chirping?”
Those are the searches happening every day.
The AI then builds on that knowledge base by helping users narrow down likely causes based on their specific symptoms.
One lesson I’ve learned is that building software isn’t just about writing code.
It’s about solving a real problem.
Search engines are beginning to index the site, traffic is slowly growing, and each new article becomes another opportunity to help someone solve a problem without frustration.
There is still a long way to go.
The AI continues to improve. The knowledge base keeps growing. New features are added almost every week.
I’m not trying to replace skilled technicians.
I’m trying to help people make better decisions before they call one.
Sometimes the fix is as simple as pressing a reset button.
Sometimes it’s knowing when it’s time to call a professional.
Either way, giving people clear, reliable information is a win.
Building Fix-It Fast AI has reminded me that meaningful software doesn’t always start in a tech company.
Sometimes it starts with someone who’s simply tired of seeing the same problems over and over again.
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